Title: | View Synthesis: LiDAR Camera versus Depth Estimation |
Authors: | Xie, Yupeng Fachada, Sarah Bonatto, Daniele Teratani, Mehrdad Lafruit, Gauthier |
Citation: | WSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 317-324. |
Issue Date: | 2021 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://hdl.handle.net/11025/45038 |
ISBN: | 978-80-86943-34-3 |
ISSN: | 2464-4617 2464–4625(CD/DVD) |
Keywords: | syntéza pohledu;odhad hloubky;LiDAR;kalibrace kamery;DERS;DIBR;RVS;Reference View Synthesizer;vykreslování založené na hloubce obrazu |
Keywords in different language: | view synthesis;depth estimation;LiDAR;camera calibration;DERS;DIBR;RVS;Reference View Synthesizer;Depth-Image-Based Rendering |
Abstract in different language: | Depth-Image-Based Rendering (DIBR) can synthesize a virtual view image from a set of multiview images andcorresponding depth maps. However, this requires an accurate depth map estimation that incurs a high compu-tational cost over several minutes per frame in DERS (MPEG-I’s Depth Estimation Reference Software) even byusing a high-class computer. LiDAR cameras can thus be an alternative solution to DERS in real-time DIBR ap-plications. We compare the quality of a low-cost LiDAR camera, the Intel Realsense LiDAR L515 calibrated andconfigured adequately, with DERS using MPEG-I’s Reference View Synthesizer (RVS). In IV-PSNR, the LiDARcamera reaches 32.2dB view synthesis quality with a 15cm camera baseline and 40.3dB with a 2cm baseline.Though DERS outperforms the LiDAR camera with 4.2dB, the latter provides a better quality-performance trade-off. However, visual inspection demonstrates that LiDAR’s virtual views have even slightly higher quality thanwith DERS in most tested low-texture scene areas, except for object borders. Overall, we highly recommend usingLiDAR cameras over advanced depth estimation methods (like DERS) in real-time DIBR applications. Neverthe-less, this requires delicate calibration with multiple tools further exposed in the paper. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2021: Full Papers Proceedings |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/45038
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